Cover Image

Bayesian estimation for conditional probabilities associated to directed acyclic graphs: study of hospitalization of severe influenza cases

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Acosta, Lesly, Armero, Carmen
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
by: Calvo, Gabriel, et al.
Published: (2023)

Bayesian competing risks survival modeling for assessing the cause of death of patients with heart failure
by: Gutiérrez-Botella, Jesús, et al.
Published: (2024)

Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2025)

Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2026)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
by: Micoli, Chiara, et al.
Published: (2024)

Singular-value statistics of directed random graphs
by: Mendez-Bermudez, J. A., et al.
Published: (2024)

Properties and maximum likelihood estimation of the gamma-normal and related probability distributions
by: Bonamente, Massimiliano, et al.
Published: (2024)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
by: Wu, Stephanie M., et al.
Published: (2025)

Kairosis: A method for dynamical probability forecast aggregation informed by Bayesian change point detection
by: Hassoun, Zane, et al.
Published: (2024)

Research on dynamic analysis and prediction model of tennis match based on Bayesian probability and analytic Hierarchy process
by: Li, Chuangqi
Published: (2024)

Bayesian modelling and computation utilising directed cycles in multiple network data
by: Mantziou, Anastasia, et al.
Published: (2021)

Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study
by: Franck, Christopher T., et al.
Published: (2020)

A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)

Bayesian compartmental modelling of MRSA transmission within hospitals in Edmonton, Canada
by: Li, Ruoyu, et al.
Published: (2025)

Rare event probability estimation for groundwater inverse problems with a two-stage Sequential Monte Carlo approach
by: Friedli, Lea, et al.
Published: (2024)

Comparing two spatial variables with the probability of agreement
by: Acosta, Jonathan, et al.
Published: (2022)

Bayesian estimation of finite mixtures of Tobit models
by: Waisman, Caio
Published: (2024)

A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
by: Green, Nathan, et al.
Published: (2024)

A Bayesian circular mixed-effects model for explaining variability in directional movement in American football
by: Nguyen, Quang, et al.
Published: (2025)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
by: Zou, Guangyong, et al.
Published: (2026)

Thompson, Ulam, or Gauss? Multi-criteria recommendations for posterior probability computation methods in Bayesian response-adaptive trials
by: Kaddaj, Daniel, et al.
Published: (2024)

Quantile balancing inverse probability weighting for non-probability samples
by: Beręsewicz, Maciej, et al.
Published: (2024)

Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)

Local graph estimation with pathwise false discovery control
by: Melikechi, Omar, et al.
Published: (2025)

Forecasting hospital discharges for respiratory conditions in Costa Rica using climate and pollution data
by: Chou-Chen, Shu Wei, et al.
Published: (2024)

Joint modeling of wind speed and wind direction through a conditional approach
by: Murphy, Eva, et al.
Published: (2022)

Evaluating probabilities without model risk
by: del Castillo, Joan, et al.
Published: (2025)

NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation
by: Yurko, Ronald, et al.
Published: (2024)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

Efficient Bayesian inversion for simultaneous estimation of geometry and spatial field using the Karhunen-Loève expansion
by: Shibata, Tatsuya, et al.
Published: (2024)

Logistic regression with missing responses and predictors: a review of existing approaches and a case study
by: Martins, Susana Rafaela, et al.
Published: (2023)

Remote, bivariate expert elicitation to determine the prior probability distribution for sample size calculation in a Bayesian non-inferiority multicenter randomized controlled trial (Croup Dosing Trial)
by: Jiang, Arlene, et al.
Published: (2026)

Excess risk of heat-related hospitalization associated with temperature and PM2.5 among older adults
by: Mock, Lauren, et al.
Published: (2025)

Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)

Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)

Estimation of conditional inequality curves and measures via estimating the conditional quantile function
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
by: Peng, K. Ken, et al.
Published: (2024)

A Cluster-Aggregate-Pool (CAP) Ensemble Algorithm for Improved Forecast Performance of influenza-like illness
by: Wei, Ningxi, et al.
Published: (2023)